Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+---
+# [NeurIPS 2023] Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
+
+This is the Hugging Face model repository for the paper "Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation," accepted by NeurIPS 2023.
+
+📝 [Paper](https://proceedings.neurips.cc/paper_files/paper/2023/hash/708e0d691a22212e1e373dc8779cbe53-Abstract-Conference.html)  
+🐙 [GitHub](https://github.com/jinpeng0528/STAR)
+
+## Installation & Data Preparation
+
+Please follow the instructions provided in our [GitHub repository](https://github.com/jinpeng0528/STAR) for installation and data preparation.
+
+## Evaluation
+
+#### PASCAL VOC 2012
+To evaluate on the PASCAL VOC 2012 dataset, execute the following command:
+
+```shell
+python eval_voc.py --device 0 --test --resume path/to/weight.pth
+```
+
+#### ADE20K
+To evaluate on the ADE20K dataset, execute the following command:
+
+```shell
+python eval_ade.py --device 0 --test --resume path/to/weight.pth
+```
+
+## Citation
+
+```
+@inproceedings{chen2023saving,
+  title={Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation},
+  author={Chen, Jinpeng and Cong, Runmin and Luo, Yuxuan and Ip, Horace Ho Shing and Kwong, Sam},
+  booktitle={NeurIPS},
+  year={2023}
+}
+```
+